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Record W2997933715 · doi:10.19181/snsp.2019.7.4.6811

The Current Substance Abuse Trends in Russia and the West

2019· article· en· W2997933715 on OpenAlexaboutno aff
Elena V. Shulgina

Bibliographic record

VenueSociologicheskaja nauka i social naja praktika · 2019
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPleasureSubstance abuseAddictionNormalization (sociology)PsychologyHedonismPopulationAddictive behaviorSocial psychologyCriminologyPsychiatrySociologySocial scienceDemographyPsychotherapist

Abstract

fetched live from OpenAlex

This paper selects and analyzes the key trends of current substance abuse that are most widespread in western European countries, the USA, Canada, and Russia, while also reviewing their differences and similarities. Foreign case studies, along with the results of analyzing the most prominent trends of substance abuse, must be accounted for when designing the optimal and most efficient measures for impacting the current drug abuse situation and eliminating its negative consequences. This paper examines the motivations and factors that encourage substance abuse; the phenomenon of substance abuse normalization; and the problems with identifying modern drug addicts that may arise as they try to adapt their behavior. The paper is based on a secondary analysis of several surveys among the working-age population (2013, 2016, 2017), as well as a college youth survey, entitled “The Student Lifestyle: Behavior Risks” (Ivanovo, Krasnodar, Moscow, Rybinsk, Chita, Yaroslavl). All of the above studies were conducted by the deviant behavior sociology sector of the RAS Federal Sociology Research Center. In addition, we considered surveys of college students in the USA and students in higher education in Canada. The analysis shows that: the age of first drug use is shifting upwards, which signifies that people are consciously deciding to consume addictive substances as mature individuals; there is an emerging trend of people aged 50 and over being introduced to addictive substances; the most popular motivation for consuming such substances is hedonism, i.e. the desire for pleasure; the attitude towards substance abuse is growing more and more tolerant, as introduction to recreational psychoactive drugs is becoming a fact of life and drug use is being integrated into society; modern substance abuse patterns still remain largely latent. We also consider foreign researchers’ insights, which warrant attention as we analyze the situation regarding substance abuse in Russian society and work on an effective anti-drug and addiction prevention policy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.340
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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